Update app.py

app.py

@@ -44,16 +44,16 @@ def Detection(filename):
       if len(classIds) != 0:
           for classId, confidence,box in zip(classIds.flatten(),confs.flatten(),bbox):
     
-              cv2.rectangle(img,box,color=(0,255,0),thickness=2)
-              cv2.putText(img,classNames[classId-1].upper(),(box[0]+10,box[1]+30),
-              cv2.FONT_HERSHEY_COMPLEX,1,(0,255,0),2)
-              cv2.putText(img,str(round(confidence*100,2)),(box[0]+200,box[1]+30),
-              cv2.FONT_HERSHEY_COMPLEX,1,(0,255,0),2)
+              #cv2.rectangle(img,box,color=(0,255,0),thickness=2)
+              #cv2.putText(img,classNames[classId-1].upper(),(box[0]+10,box[1]+30),
+              #cv2.FONT_HERSHEY_COMPLEX,1,(0,255,0),2)
+              #cv2.putText(img,str(round(confidence*100,2)),(box[0]+200,box[1]+30),
+              #cv2.FONT_HERSHEY_COMPLEX,1,(0,255,0),2)
               if FinalItems.count(classNames[classId-1]) == 0:
                 FinalItems.append(classNames[classId-1])
             
       
-      cv2.imshow("Output",img)
+      #cv2.imshow("Output",img)
       cv2.waitKey(10)
     except  Exception as err:
       print(err)